Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

MRI radiomics shows promise for rectal cancer risk stratification, accurately predicting tumour deposits and aiding treatment ...

A recent narrative review concluded that artificial intelligence (AI) has a significant impact on gastroenterology, with ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.